About the Company

At Handl, our data platform powers every product we build. Handl Health is a first-to-market AI platform that compares prices of carrier networks and healthcare providers to help benefits consultants design and manage best in class health plans.

About the Role

We are looking for a Technical Product Manager to own product operations and execution for our data platform. This is a force-multiplier role focused on ensuring our pipelines, datasets, transformations, and downstream interfaces are built, shipped, and operated with discipline. You will sit at the center of product, data, and engineering—owning prioritization, execution mechanics, and cross-team coordination for everything data-related. You will not just define what we build, but how work moves through the organization. You will report directly to the Chief Product Officer and serve as the operational backbone for the data layer across all of Handl’s products. This role is best suited for PMs who have worked closely with data engineers or analytics engineers and have owned the delivery of pipelines, datasets, or data platforms.

Responsibilities

• Own sprint planning, backlog grooming, and delivery for data platform and data engineering work
• Define scope, acceptance criteria, and sequencing for: Data pipelines and transformations, Schema changes and evolution, Data models and derived datasets, APIs or services that expose data downstream
• Maintain a single, prioritized data roadmap across products and teams
• Manage dependencies between: Data ingestion, Transformations and modeling, Warehouses/lakes. Downstream consumers (product features, analytics, partners)
• Break ambiguous data needs into executable tasks engineers can ship against
• Own release coordination and change management for data, schema, and interface updates
• Ensure data quality checks, validation logic, freshness SLAs, and confidence scoring are implemented before shipping
• Track and surface delivery risk, data gaps, and operational issues early (latency, missing data, upstream volatility)
• Write clear, concrete specs for technical work: Pipelines, Transformations, Data contracts, APIs as data interfaces
• Keep documentation current enough that teams don’t need tribal knowledge to function

Qualifications

• 3–5 years as a Technical PM, Platform PM, or TPM working with data-heavy systems
• Direct experience owning execution for: Data pipelines and transformations, Warehouses or data lakes, Platform or analytics infrastructure
• Strong understanding of: Data pipelines, Schema management, Data modeling, Data quality patterns, APIs as data surfaces
• Comfortable reading SQL and validating data outputs (Athena, Postgres, or similar)
• Proven ability to manage cross-team dependencies and prevent execution thrash
• Experience operating in an early-stage or fast-moving environment

Required Skills

• Product Ops–First Thinker: You are obsessed with execution quality. You naturally think in terms of sequencing, ownership, dependencies, and risk. You bring order to complex, ambiguous environments.
• Technically Fluent, Not Theoretical: You are comfortable discussing data pipelines, warehouses, schemas, transformations, orchestration, and interfaces with engineers. You ask good questions, spot hand-wavy thinking, and push for clarity around data contracts and ownership.
• Strong Prioritizer: You are comfortable saying no—or “not yet”—and explaining why. You understand opportunity cost and protect the roadmap from thrash.
• Detail-Oriented but Strategic: You can zoom into a broken pipeline or schema mismatch, then zoom back out to understand its impact on customer-facing products and company goals.
• Data-Literate and Hands-On: You are comfortable querying data (Athena/Postgres), validating assumptions, inspecting row-level outputs, and using evidence—not opinions—to resolve debates.

Preferred Skills

• Experience with data governance and compliance frameworks
• Familiarity with cloud platforms (AWS, GCP, Azure)
• Knowledge of machine learning concepts and applications